Launch Potato

Launch Potato

Launch Potato is a South Florida-based startup studio that connects the world's fastest growing brands to customers across the consumer journey. Founded by ambitious individuals, they leverage data, science, and fun to build successful digital companie...

Professional Services
51-250
Founded 2014

Description

  • Own the full data science workflow from business problem definition through deployed model performance and monitoring.
  • Work directly with vertical stakeholders to frame problems around business metrics and outcomes.
  • Build, validate, and document machine learning models for buying, lead quality, and media efficiency.
  • Partner with ML engineering on the final implementation and deployment of models.
  • Stay engaged after deployment to analyze live performance and improve results.
  • Identify and pursue new modeling opportunities that the business has not already flagged.
  • Improve lead quality across brands and funnel/content experiences, including messaging, funnels, and listicles.
  • Drive measurable ROAS impact for the Insurance vertical and broader portfolio over time.

Requirements

  • 5+ years of hands-on applied data science experience delivering measurable business impact.
  • Proven experience in digital marketing, performance marketing, or the lead generation industry.
  • Strong modeling fundamentals with the ability to build models that drive business impact.
  • Multi-year hands-on experience building and deploying machine learning solutions in AWS.
  • Expert-level Python and SQL skills.
  • Hands-on experience with multi-armed bandits or reinforcement learning.
  • Experience with recommendation and ranking systems, including content-based, collaborative filtering, or hybrid approaches.
  • Experience with funnel and monetization optimization and LTV modeling.
  • Experience building adtech algorithms and supporting user acquisition or paid media modeling, highly desired.
  • Experience with sophisticated ML at companies where paid digital media is core to the business model, preferred.
  • Experience with creative embeddings for creatives, videos, headlines, or search, preferred.
  • Insurance domain experience, preferred.
  • Experience creating state-of-the-art ad ranking algorithms, preferred.
  • Experience modeling against ad-platform data from Google, Meta, or native channels, preferred.
  • Experience applying LLMs or deep learning to personalization or content, preferred.
  • Familiarity with Looker, preferred.

Interested in this position?

Apply directly on the company website

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